Using SAR images to detect ships from sea clutter

被引:122
作者
Liao, Mingsheng [1 ]
Wang, Chanocheng [1 ]
Wang, Yon [2 ]
Jiang, Liming [3 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[2] E Carolina Univ, Dept Geog, Greenville, NC 27858 USA
[3] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
alpha-stable distribution; constant false alarm rate (CFAR); ship detection; synthetic aperture radar (SAR);
D O I
10.1109/LGRS.2008.915593
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
An innovative constant false alarm rate (CFAR) algorithm was studied for ship detection using synthetic aperture radar (SAR) images of the sea. Two advances were achieved. An alpha-stable distribution rather than a traditional Weibull or K-distribution was used to model the distribution of sea clutter. The distribution of sea clutter in a SAR image was typically heterogeneous, caused mainly by variable wind and current conditions. Image segmentation was carried out to improve the homogeneity of the distribution in each subimage or region. In comparison with ship detection using the CFAR algorithms based on the Weibull or K-distribution, our algorithm detected the most number of ships with the smallest number of false alarms.
引用
收藏
页码:194 / 198
页数:5
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